;3h0FddlmZddlZddlZddlmZmZmZddlm Z m Z m Z ddl m Z ddlmZddlmZddlmZdd lmZe r ddlZdd lmZGd d eZGd deZe GddeZe GddeZe GddeZy)) annotationsN)CallableSequenceSet) TYPE_CHECKINGAnyLiteral)document) Component) GradioModel)Events)I18nData)Timerc6eZdZUded<ded<ded<ded<y ) PlotDataz list[str]columnszlist[list[Any]]dataz9dict[str, Literal['quantitative', 'nominal', 'temporal']] datatypesstrmarkN)__name__ __module__ __qualname____annotations__]/var/www/html/audio-gradio/venv/lib/python3.12/site-packages/gradio/components/native_plot.pyrrs  HH Irrc!\eZdZdZej ej gZ ddddddddddddddddddddddddddddddddd  dfd Zdd Z dd Z dd Z ddZ ddZ ddZddZxZS) NativePlotz Creates a native Gradio plot component to display data from a pandas DataFrame. Supports interactivity and updates. Demos: native_plots NrTaxisFvalue)colortitlex_titley_title color_titlex_bin y_aggregate color_mapx_limy_lim x_label_angle y_label_anglex_axis_labels_visiblecaptionsorttooltipheightlabel show_label containerscale min_widtheveryinputsvisibleelem_id elem_classesrendershow_fullscreen_buttonkeypreserved_by_keyc ||_||_||_||_||_||_||_| |_| |_| |_ | |_ | |_ ||_ ||_ ||_||_||_||_||_| |_||d}t(&|U|||||||||||!|"|||#j-D]4\}$}%|$dk(r|%|_|$dvst/j0d|$dt26y)aR Parameters: value: The pandas dataframe containing the data to display in the plot. x: Column corresponding to the x axis. Column can be numeric, datetime, or string/category. y: Column corresponding to the y axis. Column must be numeric. color: Column corresponding to series, visualized by color. Column must be string/category. title: The title to display on top of the chart. x_title: The title given to the x axis. By default, uses the value of the x parameter. y_title: The title given to the y axis. By default, uses the value of the y parameter. color_title: The title given to the color legend. By default, uses the value of color parameter. x_bin: Grouping used to cluster x values. If x column is numeric, should be number to bin the x values. If x column is datetime, should be string such as "1h", "15m", "10s", using "s", "m", "h", "d" suffixes. y_aggregate: Aggregation function used to aggregate y values, used if x_bin is provided or x is a string/category. Must be one of "sum", "mean", "median", "min", "max". color_map: Mapping of series to color names or codes. For example, {"success": "green", "fail": "#FF8888"}. height: The height of the plot in pixels. x_lim: A tuple or list containing the limits for the x-axis, specified as [x_min, x_max]. If x column is datetime type, x_lim should be timestamps. y_lim: A tuple of list containing the limits for the y-axis, specified as [y_min, y_max]. x_label_angle: The angle of the x-axis labels in degrees offset clockwise. y_label_angle: The angle of the y-axis labels in degrees offset clockwise. x_axis_labels_visible: Whether the x-axis labels should be visible. Can be hidden when many x-axis labels are present. caption: The (optional) caption to display below the plot. sort: The sorting order of the x values, if x column is type string/category. Can be "x", "y", "-x", "-y", or list of strings that represent the order of the categories. tooltip: The tooltip to display when hovering on a point. "axis" shows the values for the axis columns, "all" shows all column values, and "none" shows no tooltips. Can also provide a list of strings representing columns to show in the tooltip, which will be displayed along with axis values. height: The height of the plot in pixels. label: The (optional) label to display on the top left corner of the plot. show_label: Whether the label should be displayed. container: If True, will place the component in a container - providing some extra padding around the border. scale: relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True. min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first. every: Continously calls `value` to recalculate it if `value` is a function (has no effect otherwise). Can provide a Timer whose tick resets `value`, or a float that provides the regular interval for the reset Timer. inputs: Components that are used as inputs to calculate `value` if `value` is a function (has no effect otherwise). `value` is recalculated any time the inputs change. visible: Whether the plot should be visible. elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles. elem_classes: An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles. render: If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later. show_fullscreen_button: If True, will show a button to make plot visible in fullscreen mode. key: in a gr.render, Components with the same key across re-renders are treated as the same component, not a new component. Properties set in 'preserved_by_key' are not reset across a re-render. preserved_by_key: A list of parameters from this component's constructor. Inside a gr.render() function, if a component is re-rendered with the same key, these (and only these) parameters will be preserved in the UI (if they have been changed by the user or an event listener) instead of re-rendered based on the values provided during constructor. NF)r"r4r5r6r7r8r;r<r=r>r@rAr9r:color_legend_title) stroke_dash overlay_pointr-r. interactiveshow_actions_buttonrCwidthz Argument 'z' has been deprecated.)xyr#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2r3r?super__init__itemswarningswarnDeprecationWarning)'selfr"rIrJr#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2r3r4r5r6r7r8r9r:r;r<r=r>r?r@rAkwargskey_val __class__s' rrLzNativePlot.__init__)s:\    & &"  **%:"    &<# =Z/J !%-    ID#++#&     &<=?Q rcyN nativeplotrrQs rget_block_namezNativePlot.get_block_namercy)NnativerrYs rget_markzNativePlot.get_marksrc|S)z Parameters: payload: The data to display in a line plot. Returns: The data to display in a line plot. r)rQpayloads r preprocesszNativePlot.preprocesss rc&|t|tr|Sd}tj|j dd}|j Dcic]}||||j }}t|d|d||jScc}w)a Parameters: value: Expects a pandas DataFrame containing the data to display in the line plot. The DataFrame should contain at least two columns, one for the x-axis (corresponding to this component's `x` argument) and one for the y-axis (corresponding to `y`). Returns: The data to display in a line plot, in the form of an AltairPlotData dataclass, which includes the plot information as a JSON string, as well as the type of plot (in this case, "line"). cTddl}|jjj|ry|jjj |s%|jjj |ry|jjj |rytd|)Nr quantitativenominaltemporalzUnsupported data type: )pandasapitypesis_numeric_dtypeis_string_dtypeis_categorical_dtypeis_datetime64_any_dtype ValueError)dtypepds rget_simplified_typez3NativePlot.postprocess..get_simplified_types| vv||,,U3%--2259 55e<! #:5'!BCCrsplitms)orient date_unitrr)rrrr) isinstancedictjsonloadsto_jsonrrorr^)rQr"rq split_jsoncolrs r postprocesszNativePlot.postprocesss =Jud3L DZZ W MN BG-- ;>C$U3Z%5%56 6  y)F#    s Bcy)NrrYs rexample_payloadzNativePlot.example_payloadsrcfddl}|j|jgd|jgdiS)Nr)))rg DataFramerIrJ)rQrps r example_valuezNativePlot.example_values'r||TVVY BCCrc iddS)Nzany valid json)type descriptionrrYs rapi_infozNativePlot.api_infos+;<Literal['sum', 'mean', 'median', 'min', 'max', 'count'] | Noner*zdict[str, str] | Noner+list[float] | Noner,rr-floatr.rr/boolr0str | I18nData | Noner1z0Literal['x', 'y', '-x', '-y'] | list[str] | Noner2z*Literal['axis', 'none', 'all'] | list[str]r3 int | Noner4rr5z bool | Noner6rr7rr8intr9zTimer | float | Noner:z7Component | Sequence[Component] | Set[Component] | Noner;rr<rr=list[str] | str | Noner>rr?rr@z(int | str | tuple[int | str, ...] | NonerArreturnr)r`PlotData | Nonerr)r"zpd.DataFrame | dict | Nonerr)rr)rzdict[str, Any])rrr__doc__r select double_clickEVENTSrLrZr^rar}rrr __classcell__)rUs@rrr s< mmV00 1F15 D ! """&$(+/$($(  &*)-AE>D!'+"& &*JN"/3',8<3:KD-D D  D  DDDD D"DD)D"D "!D"#D$%D& $'D(')D*?+D,<-D./D0%1D2 3D45D67D89D:$;D<H=D>?D@ADB-CDDEDF!%GDH6IDJ1KDL" HD =rrc eZdZdZddZddZy)BarPlotzi Creates a bar plot component to display data from a pandas DataFrame. Demos: bar_plot_demo cyrWrrYs rrZzBarPlot.get_block_namer[rcy)NbarrrYs rr^zBarPlot.get_marksrNrrrrrrZr^rrrrrs rrc eZdZdZddZddZy)LinePlotzk Creates a line plot component to display data from a pandas DataFrame. Demos: line_plot_demo cyrWrrYs rrZzLinePlot.get_block_namer[rcy)NlinerrYs rr^zLinePlot.get_marksrNrrrrrrrs rrc eZdZdZddZddZy) ScatterPlotzq Creates a scatter plot component to display data from a pandas DataFrame. Demos: scatter_plot_demo cyrWrrYs rrZzScatterPlot.get_block_namer[rcy)NpointrrYs rr^zScatterPlot.get_marksrNrrrrrrr s rr) __future__rrxrNcollections.abcrrrtypingrrr gradio_client.documentationr gradio.components.baser gradio.data_classesr gradio.eventsr gradio.i18nrrgrpgradio.componentsrrrrrrrrrrs" 33 1,+ '{K=K=\  j     z     *   r